Canotera
Product Overview
Canotera is a legal intelligence platform that assists professionals in evaluating litigation matters by analyzing large volumes of public case law and settlement data to generate predictions about potential outcomes, timelines, damages, and associated risks. The platform allows users to upload case materials, which are then assessed against relevant precedents. Results are presented as outcome predictions and comparative analyses that can inform case strategy and risk assessment. Canotera's platform enables users to forecast the pathway and outcome of insurance claims and litigation, providing insights into claim resolution processes and outcomes, while achieving inter-organization consistency and enhancing the organizational knowledge base.
Features
- Outcome Prediction: Evaluates new disputes and forecasts litigation outcomes with approximately 85% accuracy, based on historical comparisons and algorithmic modeling. Predictions cover liability likelihood, expected award or settlement amounts, and process timelines.
- Comparable Case Analysis: Identifies a concise set of analogous cases using a combination of large language models, geometric machine learning, and conformal analysis. Inputs are standardized and scored for relevance; uncertainty is quantified transparently.
- Evidence Discovery & Risk Insight: Enables rapid surface-level identification of critical evidence, case parallels, and structural factors—such as additional defendants, relevant patents, corporate relationships, and incident histories—that might be missed via manual review.
- Policy Analysis: Analyzes policy periods and key dates that bound the claim timeline and coverage context for the forecast.
- Settlement Probability: Provides a calibrated band on where the case will settle, anchored in comparables and the user's own historical book.
- Traceable Drivers: Offers named drivers and traceable comparable cases behind every forecast, ensuring transparency and auditability.
Company Details
- Headquarters
- 🇺🇸 New York, United States
- Type
- Legal Tech Vendor